结构可识别性:工具和应用

Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304) Pub Date : 1999-12-07 DOI:10.1109/CDC.1999.831285

T. Glad, A. Sokolov

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引用次数: 8

摘要

本文研究了可辨识性准则在涡轮增压内燃机均值模型中的应用。提出了一种利用微分代数工具将这类模型简化为线性回归的方法。对于给定的一组传感器，明确地给出了全局可辨识性和持续激励的条件。同时提出了传感器集约简的迭代方法。概述了所需的软件工具，并讨论了它们的复杂性。

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Structural identifiability: tools and applications

The paper deals with the application of the identifiability criteria to mean-value models of turbocharged IC engines. A way of reducing such models to linear regressions using differential-algebraic tools is presented. The conditions of the global identifiability and the persistent excitation are formulated explicitly for a given set of sensors. It is accompanied with an iterative technique of the sensor set reduction. The software tools required are outlined and their complexity is discussed.

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Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304)

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